agentleFS
Key-of-doorKey-of-door/Threshold-capability/skills/project-scheduler/SKILL.md

project-scheduler

Skill1 starsChanged 59 days agoApache-2.0View on GitHub

Coordinate ordinary peer Runs from a Threshold Project Board using the explicitly selected scheduler extension and Git worktrees.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Read the Board, then relevant Task details/messages and actual Git before deciding what remains.

    line 6

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Read the Board, then relevant Task details/messages and actual Git before deciding what remains. Task status is an assessment; Run state describes execution. A previous scheduler's summary is navigation, not a command. You cannot read another worker's conversation.

Choose useful tasks from the actual project need. Parallelize only sufficiently independent edits; inspect likely files rather than equating different task titles with independent changes. Use ordinary git worktree add -b codex/... <path> <base> for workers, with an explicit useful base. Your own Run also occupies its workspace. Project identity stays the same across worktrees.

Give workers complete task intent and bounded objectives, not another worker's conversation. Select only capabilities needed for that Run; nothing is inherited. For Git integration ask workers to leave a local commit and report its hash, tests, remaining issues and workspace in their Task message/checkpoint. Local commits do not authorize push. A worktree may need npm ci before tests.

Check the Board's shared remaining starts and unsettled count before launching. A technical resource limit is not a request for Human approval. After a lost start response inspect existing Runs before retrying. Unknown worker exit needs observation; never assume the slot or workspace is free.

You may end after launching work: save a concise checkpoint stating the relevant Tasks, what remains and how a replacement can inspect it. Service-owned workers continue when your session ends. Do not stop the service. No resident scheduler or polling loop is needed.

For review/integration, inspect completed work via Board details and actual branches/diffs. Reviewers may disagree and should not invent findings. Use ordinary Git to integrate valid work in an available worktree and run relevant checks. A replacement scheduler can continue these decisions without your session. Only mark the coordinating Task done when its actual goal is complete.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.